Regular Paper

[OPTICAL REVIEW Vol. 21, No. 2 (2014) 162-173]
© 2014 The Japan Society of Applied Physics

Real-Time Distortion Correction of Fish-Eye Lens Based on Bayer Image Signal

Shiming LAI*, Zhihui XIONG, Lidong CHEN, Xin TAN, and Maojun ZHANG

College of Information System and Management, National University of Defense Technology, Changsha, Hunan 410073, China

(Received September 9, 2013; Accepted December 28, 2013)

The imaging system based on a fish-eye lens generally has to correct the distortion of fish-eye images. The distortion correction based on the Bayer image signal is valuable, such as reducing the computation burden of image signal processing chips and providing a new imaging system structure of fish-eye lens. In this paper, a distortion correction method of fish-eye lens based on the Bayer image signal is proposed. Firstly, a distortion correction method that focuses on vertical straight lines and processing delay is proposed. Secondly, according to the correlation among color channels of the Bayer image, a novel Hermite interpolation method appropriate for Bayer image signal is proposed. Finally, a prototype system of fish-eye-lens-based imaging is established and the real-time field-programmable gate array (FPGA) implementation of the proposed method is demonstrated. The experiment demonstrates that the proposed distortion correction is not only characteristic of real-time processing and the smaller computation amount, but also applicable to embedded hardware.

Key words: distortion correction, fish-eye lens, image signal processing, imaging system

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